Toward genetic programming (GP) approach for estimation of hydrocarbon/water interfacial tension

摘要: Abstract The interfacial tension (IFT) of hydrocarbon/water system is one the most important parameters in various fields chemical, petroleum and process industries. Laboratory measurement laborious, time demanding involves costly experimental setup. Current study presents genetic programming (GP) as a powerful tool order to develop novel correlation for estimation IFT systems under wide ranges conditions. To achieve this mission, comprehensive databank comprising 1075 experimentally measured data points were acquired from literature reports. Four influencing factors hydrocarbon critical temperature, experiment pressure density difference considered independent correlating variables design correlation. Comprehensive error analysis demonstrates superiority proposed with R 2  = 0.91 AARD = 4.38% comparison data. predictability model was further compared recently published other well-known empirical correlations reported literature. result suggests that great value fast precise IFT.